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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 204 - 211 (8page)
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Probabilistic safety assessment (PSA) has had a significant role in quantitative decisionmakingby finding design and operational vulnerabilities and evaluating cost-benefit inimproving such weak points. In particular, it has been widely used as the core methodologyfor risk-informed applications (RIAs). Even though the nature of PSA seeks realistic results,there are still “conservative” aspects. One of the sources for the conservatism is the assumptionsof safety analysis and the estimation of failure frequency. Surveillance, diagnosis,and prognosis (SDP), utilizing massive databases and information technology, isworth highlighting in terms of its capability for alleviating the conservatism in conventionalPSA. This article provides enabling techniques to solidify a method to provide timeandcondition-dependent risks by integrating a conventional PSA model with conditionmonitoring and prognostics techniques. We will discuss how to integrate the results withfrequency of initiating events (IEs) and probability of basic events (BEs). Two illustrativeexamples will be introduced: (1) how the failure probability of a passive system can beevaluated under different plant conditions and (2) how the IE frequency for a steamgenerator tube rupture (SGTR) can be updated in terms of operating time. We expect thatthe proposed model can take a role of annunciator to show the variation of core damagefrequency (CDF) depending on operational conditions
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참고문헌 (25)
참고문헌 신청
A.L. Sousa / / The Role of Risk-Informed Decision Making in the Licensing of Nuclear Power Plants, Risk Assessment and Management / Academy Publish
A.S.A. Shehhi / 2013 / Analysis of economics and safety to cope with station blackout in PWR / Ann. Nucl. Energy 59 : 63 ~ 71
B. P. Leao / 2013 / Discrete Time Bayesian Estimation for Failure Prognosis / Annual Conference of the Prognostics and Health Management Society
E. Zio / 2010 / Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped artificial neural network / Ann. Nucl. Energy 37 : 63
H. Cothron / 2009 / Steam Generator Integrity Assessment Guideline, Electric Power Research Institue
A.S.A. Shehhi / 2013 / Analysis of economics and safety to cope with station blackout in PWR / Ann. Nucl. Energy 59 : 63 ~ 71
B. P. Leao / 2013 / Discrete Time Bayesian Estimation for Failure Prognosis / Annual Conference of the Prognostics and Health Management Society
E. Zio / 2010 / Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped artificial neural network / Ann. Nucl. Energy 37 : 63
H. Cothron / 2009 / Steam Generator Integrity Assessment Guideline, Electric Power Research Institue
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